Comparison results obtained by different models with different physical assumptions and constraints for source apportionment is important for better understanding the sources of the pollutants. Source apportionment of PM 2.5 measured at three sites located in inner urban districts of Hanoi was performed using two receptor models, UNMIX and principal component analysis with absolute principle component score (PCA/APCS). A total of 78 daily samples were collected consecutively during the dry and wet seasons in 2019 and 2020. Both UNMIX and PCA/APCS expressed comparable ability to reproduce measured PM 2.5 concentrations. Additionally, both models distinguished 4 potential sources of PM 2.5 including tra c-related emission, scrap metal recycling villages, crustal mixed with construction sources, coal combustion mixed with industry, and biomass burning. Both UNMIX and PCA/APCS con rmed that tra c-related emission was the most in uential PM 2.5 with a high percentage contribution (59% and 55.97%, respectively). All the HQ and Cr values for both children and adults of toxic elements apportioned by both UNMIX and PCA/APCS in every source were within the acceptable range.
IntroductionOver the past 30 years, many researchers have pointed out the association between airborne particulate matter and adverse health effects, especially ne particles (dynamic diameter < 2.5 µm) due to their high number concentration, deep penetration to the human respiratory system with high deposition e ciencies (Kim et al. 2004). PM 2.5 concentration in Hanoi exceeded the annual Ambient Air National Standard ranging from 28.15 to 39.4 in 2019 (Nhung et al. 2021). Especially, the urban districts of Hanoi experienced the highest pollution levels due to high population density, large number of tra c eets, and many socioeconomic activities. The number of premature deaths due to PM 2.5 exposure in Hanoi in 2019 was 2855 deaths, accounting for 12% of the total deaths in Hanoi residents aged 25 and above (Nhung et al. 2021). The total years of life lost by Hanoi inhabitants owing to PM 2.5 exposure was approximately 79.93 years, and the loss of life expectancy was 2.49 years (Nhung et al. 2021). In addition, the PM 2.5 concentration in Hanoi is signi cantly relatively higher than that in other developed countries worldwide (Nguyen et al. 2022;Bui et al. 2023). Thus, it is urgent to investigate the potential sources, and their contribution to the ambient concentration of PM 2.5 to implement an effective air pollution control strategy in Hanoi.Principle component analysis/absolute principal component scores (PCA/APCS) and UNMIX are effective, relatively simple, and easy to perform source apportionment (Song et al. 2006). The two models have been successfully used to identify the potential sources of particulate matter (Maykut et al. 2003;